Research Physicist with Python Experience - Freelance AI Trainer

## About the role Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. ## Responsibilities - Design original computational physics problems that simulate real physics research workflows; - Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics; - Base problems on real research challenges or practical applications from physics practice; - Verify solutions using Python with standard physics simulation libraries; - Document problem statements clearly and provide verified correct answers. ## Requirements - Degree in Physics (Theoretical, Experimental, or Computational) or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical simulation methods; - Ability to design problems that mirror real physics research workflows; - Creative thinking in problem design across diverse physics areas; - Familiarity with physics modeling and approximation techniques; - Strong written English (C1+). ## Nice to Have - None specified. ## Benefits - Project-based work with leading tech companies; - Flexible, part-time, non-permanent projects; - Competitive hourly rate based on expertise and contribution; - Opportunity to work on real-world physics research challenges.